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Afternoon Data Analyst R Programming Jobs in Brampton, ON

Data Analyst

Toronto, ON

CA$55K - CA$95K/yr

Partner with Data Engineers to support the successful implementation of solutions. QUALIFICATION REQUIREMENTS: Experience * 2+ years of work experience in quantitative analysis. Education/Training

Data Solutions Engineer * Build and deliver end-to-end data solutions, from ingestion and ... Business Analyst (Digitisation and Automation) * Partner with stakeholders to understand challenges ...

Working alongside two full stack developers - one on the front end used by the shop floor, one on ... R for * analysis, Azure data services, or manufacturing and ERP data - production, * inventory ...

Senior Analyst, Data Science

Toronto, ON · Hybrid

CA$70K - CA$80K/yr

Proficiency in Python or R for data manipulation, modeling, and visualization (pandas, statsmodels ... We also have four-day long weekends, half-day summer Fridays, and meeting-free Friday afternoons ...

LiDAR Data Analyst (Co-op)

Concord, ON · On-site +1

CA$46K - CA$61K/yr

Collaborate with engineers, scientists, and software developers on technical projects ... Geospatial data processing and analysis workflows. * LiDAR and imaging sensor technologies.

Bachelor's degree in quantitative fields (E.g., Statistics, Mathematics, Computer Science, Engineering) * 5+ years of experience in data, analytics, or business/data roles * Experience working with ...

Familiarity with additional data languages (e.g., Python, R), which would help expand analytical capabilities and improve efficiency in working with complex healthcare datasets * Exposure to or ...

Analyst, Data Science

Toronto, ON · Hybrid

CA$55K - CA$65K/yr

Data and Analytics Job Subfunction: Data Science and AI Position Summary We are looking for a Data ... Comfort working in Python or R for data manipulation, modeling, and visualization (pandas ...

Bachelor's or Master's Degree in a quantitative field such as Data Analytics, Data Science, Computer Science, Engineering, Mathematics, Statistics, Economics, Finance or a related discipline. * At ...

Showing results 21-40

Afternoon Data Analyst R Programming information

What is an afternoon data analyst r programming?

An Afternoon Data Analyst specializing in R Programming is a data professional who primarily works afternoon shifts and uses the R programming language to analyze, interpret, and visualize data. Their responsibilities typically include cleaning data, performing statistical analyses, and generating reports to support business decisions. They may work across various industries, collaborating with teams to provide insights and automate data processes using R. Afternoon shifts can be ideal for organizations that operate globally or require data support outside standard business hours. Proficiency in R, statistical techniques, and data visualization tools are essential skills for this role.

What are the key skills and qualifications needed to thrive as an afternoon data analyst specializing in R programming?

To thrive as an Afternoon Data Analyst specializing in R Programming, you need a strong background in statistics, data analysis, and proficiency with R, often supported by a degree in a quantitative field. Experience with data visualization tools, R packages (like tidyverse), and familiarity with databases or version control systems (such as Git) is typically required. Critical thinking, attention to detail, and effective communication are essential soft skills for interpreting results and presenting insights to stakeholders. These skills ensure accurate data-driven decisions, efficient workflow, and the ability to translate complex data into actionable business strategies.

What are some common challenges faced by afternoon data analysts working with R programming, and how can they be addressed?

Afternoon Data Analysts using R Programming often encounter challenges such as handling large datasets efficiently, ensuring code reproducibility, and collaborating with team members across different shifts. To address these, it's helpful to utilize R packages designed for big data (like data.table or dplyr), maintain clear and well-documented scripts, and use version control systems like Git for seamless collaboration. Regular communication with team members during shift handovers and leveraging collaborative tools can also enhance workflow and reduce misunderstandings.

What is the difference between Afternoon Data Analyst R Programming vs Morning Data Analyst R Programming?

AspectAfternoon Data Analyst R ProgrammingMorning Data Analyst R Programming
Required CredentialsBachelor's in Data Science, Statistics, or related field; R programming skillsBachelor's in Data Science, Statistics, or related field; R programming skills
Work EnvironmentTypically in office settings, working during afternoon hoursOffice environment, working during morning hours
Employer & Industry UsageUsed in industries with shift-based operations like finance, healthcareCommon in similar industries, often with flexible scheduling
Search & Comparison IntentPeople comparing different shift roles or schedules in data analysisSimilar search intent focusing on shift timing differences

The main difference between Afternoon Data Analyst R Programming and Morning Data Analyst R Programming lies in their work hours. Both roles require similar skills, credentials, and are used in comparable industries. The choice depends on personal schedule preferences and employer shift structures.

What are the most commonly searched types of Data Analyst R Programming jobs in Brampton, ON?

The most popular types of Data Analyst R Programming jobs in Brampton, ON are:

What are popular job titles related to Afternoon Data Analyst R Programming jobs in Brampton, ON?

For Afternoon Data Analyst R Programming jobs in Brampton, ON, the most frequently searched job titles are:

What job categories do people searching Afternoon Data Analyst R Programming jobs in Brampton, ON look for?

The top searched job categories for Afternoon Data Analyst R Programming jobs in Brampton, ON are:

Infographic showing various Afternoon Data Analyst R Programming job openings in Brampton, ON as of July 2026, with employment types broken down into 1% As Needed, 59% Full Time, 32% Part Time, 1% Temporary, 1% Contract, and 6% Nights. Highlights an 95% Physical, 3% Hybrid, and 2% Remote job distribution.

CA$55K - CA$95K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 4 days ago


Job description

At CI, we see a great place to work as one that is a safe place for everyone to have a voice, where people are empowered to take ownership over meaningful work, where there is an opportunity to grow through stretching themselves, where they can work on innovative products and projects, and where employees are supported and engaged in doing so.

We are currently seeking a Data Analyst to join the Data Solutions team in the Wealth Technology group at CI Wealth. The Data Solutions team focuses on developing data-driven solutions, driving innovation, and uncovering key insights to support strategic initiatives. The successful candidate will play a key role in leveraging data to deliver solutions that enhance decision-making, streamline business processes, and support strategic objectives.

The ideal candidate will have a strong background in both data analysis and business processes.

RESPONSIBILITIES:

  • Analyze and interpret large datasets to uncover key insights that drive business objectives.

  • Collaborate with stakeholders across teams to identify data needs and deliver actionable solutions.

  • Develop and maintain data processes that enhance efficiency and support data-driven decision-making.

  • Document and maintain data mapping specifications and business rules to support data governance efforts.

  • Assist in building reports, dashboards, and analytics tools to monitor key metrics and trends.

  • Identify inefficiencies in existing processes and recommend data-driven improvements.

  • Respond to stakeholder inquiries and data requests in a timely and effective manner.

  • Partner with Data Engineers to support the successful implementation of solutions.

QUALIFICATION REQUIREMENTS:

Experience

  • 2+ years of work experience in quantitative analysis.

Education/Training

  • Post-secondary degree in a quantitative discipline.

Knowledge, Skills, and Abilities

  • Strong problem-solving skills and attention to details.

  • Solid understanding of data and data modeling.

  • In-depth knowledge and experience with the following tools:

  • Visualization e.g., Sigma, AWS Quicksight

  • Modelling e.g., MS Excel

  • Database system e.g., PostgreSQL, Snowflake

  • Cloud Technology e.g., AWS, Microsoft Azure

  • Strong knowledge and understanding of SQL

  • Working knowledge and understanding of Python.

  • A strong analytical mindset and sophisticated written and verbal communication skills.

  • Experience in the Financial Services Industry is an asset.

  • Ability to work within an organization based upon continuous improvement.

This opportunity is for an existing vacancy with the company. The anticipated base salary range for this position is $55,000 - $95,000. Exact salary depends on several factors such as experience, skills, education, and budget. Salary range may vary based on geographic location. In addition to base salary, this position is eligible for participation in a bonus program. In addition, The Company offers a variety of benefits to eligible employees, including health insurance coverage, wellness programs, life and disability insurance, retirement savings plans, paid leave programs, education-related programs, paid holidays and vacation time, and many others. Many of these benefits are subsidized or fully paid for by the company.

This role follows our inoffice work model and requires employees to be onsite four days per week to support collaboration and business needs.

CI Financial is an independent company offering global wealth management and asset management advisory services through diverse financial services firms. Since 1965, we have consistently anticipated and responded to the changing needs of investors. We are driven by a commitment to provide individuals and institutions with the highest-quality investments and advice. Our commitment to the highest levels of performance means that whatever their position, CI employees must be comfortable in a fast-paced environment that will stretch them to tap into their highest potential. Employees with a healthy dose of ambition, a desire to commit to a curious mindset for continuous learning, and a willingness to go the extra mile thrive at CI.

A Supportive Environment for Success

We offer an in-office environment, competitive benefits, and a supportive workplace to help our employees thrive both personally and professionally.

WHAT WE OFFER

  • Modern HQ location within walking distance from Union Station
  • Training Reimbursement
  • Paid Professional Designations
  • Employee Savings Plan (ESP)
  • Corporate Discount Program
  • Enhanced group benefits
  • Parental Leave Top-up program
  • Paid time off for Volunteering

We are focused on building a diverse and inclusive workforce. If you are excited about this role and are not confident you meet all the qualification requirements, we encourage you to apply to investigate the opportunity further.

Please submit your resume in confidence by clicking "Apply". Only qualified candidates selected for an interview will be contacted. CI Financial Corp. and all of our affiliates ("CI") are committed to fair and accessible employment practices and provide reasonable accommodations for persons with disabilities. If you require accommodations in order to apply for any job opportunities, require this posting in an additional format, or require accommodation at any stage of the recruitment process please contact us ataccessible.recruitment@ci.com, or call 416-364-1145 ext. 4747.